Welcome back AI enthusiasts!
In today’s Daily Report:
⚙️Nvidia’s $700 Million Acquisition of Run:ai
🎄Last Day of “12 Days of OpenAI” Event
🔬AI-Powered Blood Test Detects Earliest Stage of Breast Cancer
🛠Trending Tools
💰Funding Frontlines
💼Who’s Hiring?
Read Time: 3 minutes
🗞RECENT NEWS
NVIDIA
⚙️Nvidia’s $700 Million Acquisition of Run:ai
The European Union (EU) has given the green light to Nvidia’s $700 million acquisition of Run:ai.
Key Details:
The EU unanimously decided that Nvidia could acquire Run:ai, a startup that helps Operations Teams optimize their AI infrastructure.
They found that Run:ai’s market share is too small to be significant in the European Economic Area (EEA). In other words, European citizens seeking software solutions “have sufficient alternatives.”
However, Nvidia isn’t out of the woods yet. The Department of Justice (DOJ) is investigating the chip maker for potential antitrust violations like “distorting innovation and undermining fair competition” through acquisitions.
Why It’s Important:
Run:ai is Nvidia’s largest acquisition since purchasing Mellanox Technologies for $6.9 billion in 2019 to supply end-to-end Ethernet solutions that accelerate data transmission between servers.
“I think it’s hard to make an antitrust case with Nvidia when they had no competition,” said Principal Analyst at Tirias Research Jim McGregor. Now, Nvidia controls more than 80% of the AI chip market.
🩺 PULSE CHECK
Does Nvidia have a monopoly on the AI chip market?
OPENAI
🎄Last Day of “12 Days of OpenAI” Event
Image Source: OpenAI/YouTube/“OpenAI o3 and o3-mini—12 Days of OpenAI: Day 12”/Screenshot
OpenAI introduced a new series of AI models called OpenAI o3 and OpenAI o3-mini during the last day of the “12 Days of OpenAI” event.
Key Details:
The “12 Days of OpenAI” event involves 12 livestreams across 12 days of “a bunch of new things, big and small.”
OpenAI o3
OpenAI o3 is a Reasoning Engine that mimics a human’s decision-making capabilities and problem-solving capacity.
It deploys a Chain-of-Thought (CoT) technique to break down complex tasks into manageable steps.
This technique enables OpenAI o3 to recognize and correct mistakes, try different strategies, and verify responses to prompts.
It was also trained through Reinforcement Learning (RL), which mimics the “trial-and-error” process humans use to learn, where actions that lead to desired outcomes are reinforced.
OpenAI o3 can reason through complex tasks and solve harder problems in math, coding, and science.
OpenAI o3-mini
OpenAI o3-mini is a cost-effective alternative that demands fewer computational resources (e.g., processing power, cooling systems, and memory).
Benchmarks
One of the most impressive achievements is OpenAI o3‘s performance on the ARC-AGI benchmark, which evaluates an AI model’s ability to learn and generalize new skills.
Researchers view the ARC-AGI benchmark as the gold standard for evaluating general intelligence in AI models. This benchmark is difficult for AI models because every complex task requires distinct reasoning skills. In other words, AI models can’t rely on memorized patterns.
OpenAI o3 achieved 88% accuracy on the ARC-AGI benchmark, becoming the first AI model to surpass the 85% accuracy threshold required to outperform humans.
🚨Watch how the ARC-AGI benchmark benefits real-world stuff here.
AI RESEARCH
🔬AI-Powered Blood Test Detects Earliest Stage of Breast Cancer
Image Source: Canva’s AI Image Generators/Magic Media
Researchers at the University of Edinburgh (“Edin”) created a new screening method that combines Laser Analysis with Machine Learning (ML) to detect the earliest stage of breast cancer.
Laser Analysis is a technique that uses a laser to analyze the properties of a blood sample. How the laser’s light interacts with the molecules in the blood sample provides a unique “spectral signature” that reveals subtle shifts in their chemical composition, signaling the earliest stage of breast cancer (i.e., Stage 1A).
ML leverages data to recognize patterns and make predictions without explicit instructions from developers. The “spectral signature” produced by Laser Analysis is essentially a complex set of data points. ML algorithms are designed to analyze this complex set of data points, recognizing subtle patterns in a blood sample associated with Stage 1A breast cancer.
Here’s a simple breakdown of how the new screening method works:
Blood Sample: A small blood sample is drawn from the patient.
Laser Analysis: The blood plasma (i.e., the fluid portion of blood) is extracted, and the laser’s light creates a unique “spectral signature.”
ML Algorithms: The “spectral signature” is fed into ML algorithms to identify subtle patterns associated with Stage 1A breast cancer.
Cancer Detection: The ML algorithms determine if the blood sample is cancerous or non-cancerous.
Results: Medical professionals confirm a diagnosis and provide treatment decisions.
In a trial run involving 12 samples from breast cancer patients and 12 samples from healthy control patients, the new screening method was 98% effective at identifying Stage 1A breast cancer. It could also distinguish between each of the four subtypes of breast cancer (e.g., Luminal A, Luminal B, HER2-Positive, and Triple-Negative) with over 90% accuracy.
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🔮Browse our always Up-To-Date AI Tools Database.
💰FUNDING FRONTLINES
💼WHO’S HIRING?
AMD (Austin, TX): Data Analyst Intern/Co-Op, Summer 2025
Salesforce (San Francisco, CA): AI Scientist Intern, Summer 2025
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intrinsic (Mountain View, CA): Robotics Software Engineer Intern, Summer 2025
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MARKETING
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